Strengthening nucleic acid biosecurity screening against generative protein design tools
成果类型：
Article
署名作者：
Wittmann, Bruce J.; Alexanian, Tessa; Bartling, Craig; Beal, Jacob; Clore, Adam; Diggans, James; Flyangolts, Kevin; Gemler, Bryan T.; Mitchell, Tom; Murphy, Steven T.; Wheeler, Nicole E.; Horvitz, Eric
署名单位：
Microsoft; Battelle Memorial Institute; Integrated DNA Technologies IDT; University of Birmingham
刊物名称：
SCIENCE
ISSN/ISSBN：
0036-8075; 1095-9203
DOI：
10.1126/science.adu8578
发表日期：
2025-10-02
页码：
82-87
关键词：
摘要：
Advances in artificial intelligence (AI)-assisted protein engineering are enabling breakthroughs in the life sciences but also introduce new biosecurity challenges. Synthesis of nucleic acids is a choke point in AI-assisted protein engineering pipelines. Thus, an important focus for efforts to enhance biosecurity given AI-enabled capabilities is bolstering methods used by nucleic acid synthesis providers to screen orders. We evaluated the ability of open-source AI-powered protein design software to create variants of proteins of concern that could evade detection by the biosecurity screening tools used by nucleic acid synthesis providers, identifying a vulnerability where AI-redesigned sequences could not be detected reliably by current tools. In response, we developed and deployed patches, greatly improving detection rates of synthetic homologs more likely to retain wild type-like function.
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